国安部：违规使用开源AI，敏感资料被境外IP非法访问下载

Core Insights - The rapid development of AI large models is transforming various industries and daily life, but it also brings challenges such as data privacy and algorithmic bias that need to be addressed to ensure a secure future [1] Group 1: Challenges in AI Development - Data privacy and security boundaries are becoming blurred, with instances of unauthorized access to internal networks leading to data leaks [2] - The misuse of AI technology, particularly deepfake, poses risks to individual rights, social stability, and national security, as seen in attempts to spread false information [2] - Algorithmic bias can amplify discrimination, with AI models showing systematic bias based on the training data, leading to misleading historical interpretations [2] Group 2: Safety Guidelines for AI Usage - Establish clear boundaries for AI activities, ensuring minimal permissions and restricting access to sensitive data [3] - Regularly check digital footprints by cleaning AI chat records and being cautious with unknown AI programs [3] - Optimize human-AI collaboration by critically evaluating AI responses, especially on sensitive topics, and verifying information across platforms [3] Group 3: National Security Agency Recommendations - Emphasizing that safety is a prerequisite for development, users should enhance their security awareness and be cautious in granting permissions to AI models [4] - Users are encouraged to report any suspicious activities related to AI models that may compromise personal information or network security [4]